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Detail
@vdbdhhchx:
Брадок
Open In TikTok:
Region: UA
Saturday 02 May 2026 21:07:16 GMT
2471519
261364
543
276145
Music
Download
No Watermark .mp4 (
0.46MB
)
No Watermark(HD) .mp4 (
0.46MB
)
Watermark .mp4 (
0.52MB
)
Music .mp3
Comments
Hello Neighbor :
брад
2026-05-03 05:36:06
4283
never_lucky :
я клянусь мамой что лайкну этот комм)(ты поклялся мамой)
2026-05-05 08:49:41
543
бибизяка :
брад всо норм?
2026-05-03 07:22:47
1725
Soci0⚛️ :
Звук...
2026-05-04 00:07:32
122
FOST :
2026-05-03 05:40:26
189
☦🪽 :
брадиик
2026-05-05 10:28:46
64
Gennady :
Ахахахахахха
2026-05-02 21:11:26
81
сдарова надоел🤣🤙 :
бедни брад
2026-05-06 07:47:27
41
Ональдо☑️ :
2026-05-02 21:17:31
63
старши гинирал брадок :
атиц?
2026-05-06 15:27:20
5
Добрый долар :
когда не послушал маму
2026-05-03 11:26:09
135
kakashka :
что происходит после фразы*мам смотри что я могу*
2026-05-04 00:58:17
355
私は寂しいです :
брадок потерялся
2026-05-04 02:35:30
5
матьпенсиюсними :
У тебя ахуенная ава..
2026-05-04 02:26:42
7
🐁 :
я после слов смотри что умею
2026-05-03 18:55:34
9
cayhud :
чек репост,там интересно)
2026-05-14 13:30:53
112
warmenmakarov :
2026-05-03 05:39:14
8
TUREW.X :
почему мне смешно
2026-05-06 04:43:58
5
pered0zzzzz :
бедный
2026-06-02 23:10:16
1
никому не :
мне нужен такой стикер...
2026-05-07 10:27:36
0
alik :
брадок😭
2026-05-09 19:28:47
3
To see more videos from user @vdbdhhchx, please go to the Tikwm homepage.
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Everyone’s posting “AI agents are the future.” But most people still can’t explain how an agent actually works. So I made the roadmap I wish I had when I started building them: → how agents reason → why memory matters → what tools actually do → how multi-agent systems work → what makes agents production-ready → and the exact skills you need to go from “prompting AI” to building autonomous systems The biggest shift in AI right now isn’t better prompts. It’s giving models: • memory • tools • goals • feedback loops • and the ability to act That’s where Agentic AI starts. Most beginners jump straight into frameworks and get overwhelmed. The better path is: 1. Learn how LLMs think 2. Understand the agent loop (Reason → Act → Observe → Repeat) 3. Connect APIs + tools 4. Add memory + retrieval 5. Build workflows 6. Ship real systems The people who understand this stack early will have a massive advantage over the next 2–3 years. Because soon, “using AI” won’t be impressive anymore. Building systems that can think, execute, and improve on their own will be. I spent hours breaking everything down visually so anyone can understand the ecosystem without getting lost in hype. Bookmark this. You’ll need it sooner than you think. #AI #AgenticAI #MachineLearning #AIroadmap #AutonomousSystems
Great for anxiety and stress relief! #sensorycubes #fidgetcubes #squishycube #sensorytoy
does he know he exist#foryou #fyp
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